PerTurbo Manifold Learning Algorithm for Weakly Labeled Hyperspectral Image Classification.
Laetitia ChapelThomas BurgerNicolas CourtySébastien LefèvrePublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2014)
Keyphrases
- hyperspectral image classification
- weakly labeled
- manifold learning algorithm
- manifold learning
- dimensionality reduction
- active learning
- low dimensional
- hyperspectral images
- hyperspectral
- semi supervised
- weakly supervised
- locally linear embedding
- high dimensional
- high dimensional data
- dimension reduction
- training data
- hyperspectral data
- principal component analysis
- singular value decomposition
- random projections
- machine learning
- dimensionality reduction methods
- sparse representation
- pattern recognition
- feature extraction
- high dimensionality
- data points
- decision trees